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The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model
OBJECTIVES: This research was designed to compare the ability of different machine learning (ML) models and nomogram to predict distant metastasis in male breast cancer (MBC) patients and to interpret the optimal ML model by SHapley Additive exPlanations (SHAP) framework. METHODS: Four powerful ML m...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120176/ https://www.ncbi.nlm.nih.gov/pubmed/37085843 http://dx.doi.org/10.1186/s12911-023-02166-8 |